How to get your website cited by ChatGPT, Claude, and Perplexity: a step-by-step workflow

Slight overhead v..., illustrating How to get your website cited by ChatGPT, Claude, and Perplexity — a step-by-step workflow

I recommend starting with a question your audience asks, publishing a useful answer that AI search tools can access, and checking whether those tools cite it for relevant prompts. We can improve the conditions for discovery and make our evidence easier to use, but no workflow guarantees a citation. ChatGPT, Claude, and Perplexity may use different sources, and their answers can vary by prompt and search availability.

Table of contents

Understand what an AI citation means

An AI answer citation is a source reference or link shown alongside an answer. A citation can send a reader to your page, but an answer can also mention your brand without linking to it. I track those as separate observations.

For this workflow, I use generative engine optimization (GEO) to mean improving content so AI answer engines can find and use it. It overlaps with search engine optimization (SEO), which helps search engines understand and surface pages. Neither guarantees that a particular answer will cite us.

I also keep these stages separate:

  • Discovery: A crawler or search system finds a URL.
  • Indexing: A search engine stores and processes a page for potential search results.
  • Ranking: A search engine orders results for a query.
  • Citation visibility: An AI answer mentions or links to a source.
  • Clicks and conversions: A person visits or takes an action, such as signing up.

Progress at one stage does not prove progress at the next. A page can appear in search results without being cited in an AI answer, and a citation does not guarantee a visit.

Step 1: Pick questions your site can answer

I start with a specific reader question that matches what our site knows or offers. A focused answer gives us a clearer page to create and a clearer prompt to test.

For a hypothetical small SaaS company with a scheduling product, a question might be: “How can a freelance designer schedule client calls across time zones?” The page could explain the decision, show a practical workflow, and describe relevant product features accurately.

I look for questions in:

  1. Customer support conversations and sales calls.
  2. Search queries already associated with our site in Google Search Console (GSC).
  3. Existing pages that answer part of a question but leave a useful gap.
  4. Product documentation or firsthand experience we can explain accurately.

I choose questions where I can provide a complete, useful answer. If the answer depends on a policy, price, or changing product feature, I identify a reliable source before making the claim.

Step 2: Check that the answer is accessible

I check that the page exists at the expected URL, loads without a login when it is meant to be public, and presents the main answer as readable page content. I also check for accidental crawl restrictions and links that people and crawlers can follow.

For Google, I use Search Console to inspect the page’s indexing status. I treat discovery and indexing as separate checks: submitting a sitemap or requesting indexing does not mean Google has indexed the page. Google’s guides explain how to build a sitemap and make links crawlable.

I make the same basic accessibility checks before testing AI answers, but I do not assume Google’s indexing status proves that ChatGPT, Claude, or Perplexity can access or will use the page. Their discovery and source-selection processes can differ, and this guide does not establish their individual indexing requirements.

If I use a publishing integration, I check the live URL after delivery. A generated draft or a delivery acknowledgement alone does not establish that the page is live.

Step 3: Write an answer worth citing

I put the direct answer near the top, including any condition that changes it. Then I give readers enough detail to act or judge whether the answer applies to them.

For the hypothetical scheduling article, I might open with the steps a designer can take to agree on a time zone, offer available slots, and confirm the meeting time. I would explain which steps depend on the scheduling product rather than implying every product works the same way.

I make each page more useful by:

  • Defining unfamiliar terms when I first use them.
  • Using headings that describe the questions the page answers.
  • Adding a concrete example and labeling it hypothetical when appropriate.
  • Linking factual claims to their supporting sources.
  • Explaining limits, exceptions, and tradeoffs alongside the recommendation.
  • Removing unsupported statistics and claims.

I use Google’s guidance on helpful content as a check on whether the page serves its intended audience. Clear formatting can help people and systems understand an answer, but a particular heading or paragraph structure cannot guarantee a citation.

Step 4: Add context, links, and structured data

I connect the answer to the rest of the site where that helps a reader. A scheduling guide, for example, might link to a relevant product feature page and a related time-zone guide. I use descriptive link text so readers know what they will find.

I also make it easy to identify the business behind the page. A consistent business name and a clear description of the product give readers context when they assess a source.

Structured data is machine-readable information that describes a page or its content. I use it only when it accurately reflects what appears on the page. Google’s structured data introduction explains the concept and its use in Google Search. I treat it as a way to describe content, not as a guarantee of indexing, rankings, or AI citations.

Step 5: Test prompts across AI answer engines

Once I have verified the page is live, I test the questions it was written to answer. I use ChatGPT, Claude, and Perplexity where search or source citations are available in the experience I am using. I record whether each answer mentions the brand, links to the page, links to another page, or shows no relevant reference.

For the hypothetical scheduling article, I could test:

  • “How can a freelance designer schedule client calls across time zones?”
  • “What should a designer include when confirming a meeting across time zones?”
  • “How does [business name] help with scheduling client calls?”

I record the exact prompt, engine, date, and observed result. I also save the cited URL when one appears. A brand-specific prompt and a general question answer different things, so I review them separately.

A single answer is a snapshot. If our page is absent, I cannot tell from that result alone whether the issue is discovery, source selection, the prompt, or something else. If it appears, I cannot conclude that a particular edit caused the citation.

Step 6: Review search and citation signals separately

I use GSC to review search queries, impressions, clicks, and page performance. I compare clearly stated reporting periods and account for the data freshness shown in the report. Missing rows are not evidence of zero activity.

For AI answers, I keep a separate record of prompts, mentions, and cited URLs. I avoid treating an observed mention as a search click or a conversion. I also avoid crediting an article change for a later result without evidence that establishes the cause.

This separation helps me choose the next task. If the page is live but absent from Google’s index, I investigate indexing. If it is indexed and readers reach it but the answer is incomplete, I improve the content. If an AI answer cites a different page, I inspect that page before deciding whether a change is useful.

Step 7: Improve the page and repeat

I pick one substantive improvement based on the evidence I have. That might mean answering a missing question, correcting an outdated claim, adding a useful example, or linking to a stronger supporting source.

After the change, I confirm the revised page is live and repeat the same prompt checks. I keep the earlier observations so I can compare what appeared, while remembering that answer engines can change their responses for reasons outside my control.

For recurring work, I can use SEOGrove to plan content, review GSC-informed opportunities, generate and revise articles, and monitor AI citation visibility. Its product documentation describes the workflow. Features depend on configuration and permissions; generated content still needs an accuracy review, and a completed generation step does not establish that a page is live.

Ready to get started?

We can use SEOGrove to plan and improve SEO content, build useful tool pages, and monitor AI citation visibility. Try SEOGrove free for 14 days; no credit card is required. I recommend starting with one reader question, reviewing the resulting content, and verifying the page is live before testing citations.